Papers
14
Total Citations
449
H-Index
9
About
A. M. Hermann is a leading roboticist whose research focuses on motion planning, collision detection, and autonomous manipulation for mobile service robots. Hermann’s most significant contribution is the development of RRT*-Connect (2015, 201 citations), a groundbreaking asymptotically optimal motion planning algorithm that combines the speed of RRT-Connect with the optimality guarantees of RRT*, solving single-query path planning problems far more efficiently than either predecessor. This work has become a cornerstone reference in the field. Hermann also pioneered the use of Graphics Processing Units (GPUs) for real-time collision detection, introducing a unified framework (2014, 65 citations) that dramatically accelerates planning by leveraging parallel architectures. Further advancing human-robot collaboration, Hermann developed predictive collision detection methods that anticipate dynamic obstacles (2015, 27 citations), enabling safer shared workspaces. Notable achievements include the experimental evaluation of the Schunk 5-Finger Gripping Hand for service robotics (2014, 45 citations) and the design of the bimanual mobile manipulation robot HoLLiE (2013, 21 citations), a robust platform with an actuated upper body. With over 400 total citations, Hermann’s work continues to shape efficient, safe, and autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1RRT*-Connect: Faster, asymptotically optimal motion planning201 citations · 2015
- 2Unified GPU voxel collision detection for mobile manipulation planning65 citations · 2014
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- 7Autonomous grasp and manipulation planning using a ToF camera14 citations · 2011
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- 9Efficient, Collaborative Screw Assembly in a Shared Workspace10 citations · 2018
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